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April 24, 2015
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A Comprehensive Approach to Building your Big Data Solution with Hadoop

On April 30, learn from experts at Hortonworks, Cisco, and Red Hat about accelerating the implementation of a scalable, cost-efficient and robust Big Data solution. Here is a sneak preview of what you’ll hear from our speakers:

  • Ali Bajawa, Senior Partner Solution Engineer, Hortonworks
  • Ron Graham, System Engineer for Big Data Analytics, Cisco
  • Irshad Raihan, Senior Principal, Big Data Product Marketing, Red Hat

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1. What should a company consider when looking for a big data solution?

A validated architecture that delivers performance, scalability and manageability while increasing speed of deployment can save companies a lot of trouble, money and time when implementing a big data solution. Enterprises need to support their big data architecture with agile, modular building blocks so they can adapt to rapidly changing business demands and technological advances e.g. tiered storage for big data. This is why Cisco, Hortonworks and Red Hat have partnered to deliver a fully tested and validated reference architecture that integrates with existing technologies, scales to handle ever-increasing amount of data and simplifies the management of the entire server network – all by keeping costs under control.

2. Many companies are now trying to build advanced analytics apps based on their enterprise and customer data. Why is it so difficult to implement these so called “big data” projects?

The size of the data is definitely a key challenge but it’s not the only problem. The data companies are dealing with come from multiple sources, and is delivered in a variety of formats. Traditional data management systems, built in the 80’s and 90’s, were simply not equipped to handle this new data lifecycle which tends to be much more iterative in nature. New data processing models require new ways of purchasing, deploying and expanding data management infrastructure.

3. We talk about open standards a lot. Why is it so important? How do Cisco, Hortonworks and Red Hat support them?

Open standards are critical to reduce the costs associated with IT solutions. They also support interoperability and allow companies to build robust, yet flexible systems that can evolve based on the needs of the business. Hortonworks’ strategy is founded on the unwavering belief in the power of community driven open source software. “The fastest way to innovate is to do its work within the open source community, introduce enterprise feature requirements into that public domain, and to work diligently to progress existing open source projects and incubate new projects to meet those needs.” This vision aligns nicely with Red Hat, who has a similar

4. Big Data seems to be more a journey than an end result. Can you comment on this?

Cisco’s Internet Business Solutions Group (IBSG) predicts some 25 billion devices will be connected by 2015, and 50 billion by 2020. While the Internet of Things is growing at an exponential rate and is becoming increasingly complex (new types of devices), Chief Information and Chief Data Officers are now at the heart of the business strategy. Yet, without the proper IT foundations and solutions, the most innovative and forward-thinking approaches will not be successful. Business and IT leaders need to work hand in hand to build new data models, leverage new data sources and take advantage of iterative analytics. This requires both a shift in the way data is handled and IT systems are designed and built. In a nutshell, data offers a new world of possibilities – but also a bunch of new expectations!

5. How do Cisco, Hortonworks and Red Hat work together to help companies on their big data journey?

Working together, Cisco, Hortonworks, and Red Hat provide a validated design and comprehensive system that meets today’s data imperatives: supporting an enterprise-grade Hadoop deployment, integrating data across the enterprise, and enabling the deployment of innovative applications. The combined solution integrates with current investments, leverages existing technologies, and extends ROI without a top-to-bottom infrastructure rebuild. Going forward, it accommodates new innovations and scale, so enterprises can start small and grow their data deployment in a step-by-step fashion.

Join our webinar on April 30 and learn more.

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